Danimir T. Doncevic

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 9

Top Topics

Cascade Correlation

Reinforcement Learning

Iterative Algorithms

Recurrent Networks

Top Venues

SIAM J. Sci. Comput.

Comput. Chem. Eng.

Publications

Danimir T. Doncevic, Alexander Mitsos, Yue Guo, Qianxiao Li, Felix Dietrich, Manuel Dahmen, Ioannis G. Kevrekidis
A Recursively Recurrent Neural Network (R2N2) Architecture for Learning Iterative Algorithms. SIAM J. Sci. Comput. 46 (2) (2024)
Jan C. Schulze, Danimir T. Doncevic, Nils Erwes, Alexander Mitsos
Data-Driven Model Reduction and Nonlinear Model Predictive Control of an Air Separation Unit by Applied Koopman Theory. CoRR (2023)
Jan Ebert, Danimir T. Doncevic, Ramona Kloß, Stefan Kesselheim
Hearts Gym: Learning Reinforcement Learning as a Team Event. Teaching ML (2022)
Danimir T. Doncevic, Alexander Mitsos, Yue Guo, Qianxiao Li, Felix Dietrich, Manuel Dahmen, Ioannis G. Kevrekidis
A Recursively Recurrent Neural Network (R2N2) Architecture for Learning Iterative Algorithms. CoRR (2022)
Yue Guo, Felix Dietrich, Tom Bertalan, Danimir T. Doncevic, Manuel Dahmen, Ioannis G. Kevrekidis, Qianxiao Li
Personalized Algorithm Generation: A Case Study in Learning ODE Integrators. SIAM J. Sci. Comput. 44 (4) (2022)
Jan Ebert, Danimir T. Doncevic, Ramona Kloß, Stefan Kesselheim
Hearts Gym: Learning Reinforcement Learning as a Team Event. CoRR (2022)
Jan C. Schulze, Danimir T. Doncevic, Alexander Mitsos
Identification of MIMO Wiener-type Koopman models for data-driven model reduction using deep learning. Comput. Chem. Eng. 161 (2022)
Jan C. Schulze, Danimir T. Doncevic, Alexander Mitsos
Identification of MIMO Wiener-type Koopman Models for Data-Driven Model Reduction using Deep Learning. CoRR (2022)
Yue Guo, Felix Dietrich, Tom Bertalan, Danimir T. Doncevic, Manuel Dahmen, Ioannis G. Kevrekidis, Qianxiao Li
Personalized Algorithm Generation: A Case Study in Meta-Learning ODE Integrators. CoRR (2021)